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<article article-type="research-article" dtd-version="2.0" xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JFR</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Form Res</journal-id>
      <journal-title>JMIR Formative Research</journal-title>
      <issn pub-type="epub">2561-326X</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v7i1e43002</article-id>
      <article-id pub-id-type="pmid">37074784</article-id>
      <article-id pub-id-type="doi">10.2196/43002</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Chinese Version of the Breast Cancer Literacy Assessment Tool: Translation, Adaptation, and Validation Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Khazaee-Pool</surname>
            <given-names>Maryam</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author">
          <name name-style="western">
            <surname>Shan</surname>
            <given-names>Yi</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-5852-1122</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Ji</surname>
            <given-names>Meng</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <address>
            <institution>School of Languages and Cultures</institution>
            <institution>The University of Sydney</institution>
            <addr-line>A18 - Brennan MacCallum Building</addr-line>
            <addr-line>Sydney, NSW 2006</addr-line>
            <country>Australia</country>
            <phone>61 2 9351 4512</phone>
            <email>christine.ji@sydney.edu.au</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7463-9208</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>School of Foreign Studies</institution>
        <institution>Nantong University</institution>
        <addr-line>Nantong</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>School of Languages and Cultures</institution>
        <institution>The University of Sydney</institution>
        <addr-line>Sydney</addr-line>
        <country>Australia</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Meng Ji <email>christine.ji@sydney.edu.au</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>19</day>
        <month>4</month>
        <year>2023</year>
      </pub-date>
      <volume>7</volume>
      <elocation-id>e43002</elocation-id>
      <history>
        <date date-type="received">
          <day>28</day>
          <month>9</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>1</day>
          <month>3</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>4</day>
          <month>3</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>22</day>
          <month>3</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Yi Shan, Meng Ji. Originally published in JMIR Formative Research (https://formative.jmir.org), 19.04.2023.</copyright-statement>
      <copyright-year>2023</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://formative.jmir.org/2023/1/e43002" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Breast cancer is the most common cancer among Chinese women, with an age-standardized prevalence of 21.6 cases per 100,000 women. Limited cancer health literacy reduces females’ ability to engage in cancer prevention and detection. It is necessary to assess Chinese women’s breast cancer literacy to deliver targeted interventions and effective education. However, there is no Breast Cancer Literacy Assessment Tool (B-CLAT) available in China currently.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This study aimed to translate and linguistically and culturally adapt the B-CLAT into a simplified-Chinese version (C-B-CLAT), and then validate its psychometric properties by administering it to Chinese college students.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>First, we translated the B-CLAT into a simplified-Chinese version and verified its validity and reliability using rigorous translation and validation guidelines proposed in previous studies. We then evaluated the psychometric properties among 50 female participants with a mean age of 19.62 (SD 1.31) years recruited from Nantong University, China.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Items 1, 6, 8, 9, 10, 16, 17, 20, 21, 22, 23, 24, 25, 26, 29, and 30 were deleted to increase the relevant subscale internal consistency. Items 3, 12, 13, 14, 18, 20, 27, and 31 were deleted due to their Cronbach <italic>α</italic> being lower than .5 in the test-retest analysis. After deletion, the internal consistency of the entire scale was fair with <italic>α</italic>=.607. The prevention and control subscale had the highest internal consistency with <italic>α</italic>=.730, followed by the screening and knowledge subscale with <italic>α</italic>=.509, while the awareness subscale had the lowest internal consistency with <italic>α</italic>=.224. The intraclass correlation coefficient for the C-B-CLAT (items 2, 4, 5, 7, 11, 15, 28, 32, 33, and 34) was fair to excellent (odds ratio [OR] 0.88, 95% CI 0.503-0.808). The values of Cronbach <italic>α</italic> for items 2, 4, 5, 7, 11, 15, 28, 32, 33, and 34 ranged from .499 to .806, and the <italic>α</italic> value for the C-B-CLAT was .607. This indicates fair test-retest reliability. The mean difference in the C-B-CLAT scores between stage 1 and stage 2 was 0.47 (OR 0.67, 95% CI −0.53 to 1.47), which was not significantly different from zero (t<sub>48</sub>=0.945; <italic>P</italic>=.35). This result implies that the C-B-CLAT produced the same scores at stage 1 and stage 2 on average, thus showing good agreement in the C-B-CLAT scores between stage 1 and stage 2. The SD of the difference was 3.48. The 95% limits of agreement were −6.34 to 7.28.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>We developed a simplified-Chinese version of the B-CLAT through translation and adaptation. Psychometric properties testing has proven this version valid and reliable for assessing breast cancer literacy among Chinese college students.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>breast cancer literacy assessment tool</kwd>
        <kwd>translation</kwd>
        <kwd>adaptation</kwd>
        <kwd>psychometric evaluation</kwd>
        <kwd>validity</kwd>
        <kwd>reliability</kwd>
        <kwd>breast cancer</kwd>
        <kwd>cancer</kwd>
        <kwd>tool</kwd>
        <kwd>women</kwd>
        <kwd>prevention</kwd>
        <kwd>detection</kwd>
        <kwd>intervention</kwd>
        <kwd>assessment</kwd>
        <kwd>education</kwd>
        <kwd>breast cancer literacy</kwd>
        <kwd>assessment tool</kwd>
        <kwd>cancer awareness</kwd>
        <kwd>health literacy</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <sec>
        <title>Background</title>
        <p>Breast cancer is the most prevalent cancer among women globally, constituting around 23% of all female cancers [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>]. It is expected that over 2 million women will be diagnosed with cancer by 2030 with increasing percentages from low-income countries [<xref ref-type="bibr" rid="ref3">3</xref>]. Breast cancer is also the most common cancer among Chinese women with an age-standardized prevalence of 21.6 cases per 100,000 women [<xref ref-type="bibr" rid="ref4">4</xref>]. Newly diagnosed breast cancer cases in China represent 12.2% of all newly diagnosed breast cancer cases worldwide, and deaths from breast cancer in China constitute 9.6% of all cancer-induced deaths worldwide [<xref ref-type="bibr" rid="ref5">5</xref>]. There is a rapid increase in China’s proportional contribution to the global cancer rate due to the improving socioeconomic status and unique reproductive patterns of Chinese populations [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
        <p>Health literacy is a significant determinant of health outcomes [<xref ref-type="bibr" rid="ref6">6</xref>]. It has been associated with improved compliance with health care recommendations, health appointments, and the adoption of preventive care (eg, cancer screening) [<xref ref-type="bibr" rid="ref7">7</xref>]. Limited health literacy was found to effectively predict inadequate use of health care resources and poor health outcomes among susceptible populations [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>]. Breast and cervical cancer literacy have been defined as “a woman’s functional understanding of her personal and familial risk of the disease, including how to minimize her risk and the risk of her family through preventive early detection screenings, lifestyle changes, and understanding how to access the health system and engage providers to minimize her risk and the risk of her family” [<xref ref-type="bibr" rid="ref10">10</xref>]. Limited cancer health literacy reduces females’ ability to engage in cancer prevention and detection [<xref ref-type="bibr" rid="ref10">10</xref>]. Given the global prevalence of female breast cancer, it is necessary to assess breast cancer literacy among women worldwide to deliver more targeted interventions and conduct more effective education. To this end, some Breast Cancer Literacy Assessment Tools (B-CLAT) have been well-developed and validated. Williams et al [<xref ref-type="bibr" rid="ref10">10</xref>] produced the first version of the 16-item B-CLAT as a disease-specific literacy scale. This 16-item B-CLAT was verified in feasibility studies and culturally and linguistically translated [<xref ref-type="bibr" rid="ref11">11</xref>]. The second version of the B-CLAT was designed to measure functional breast cancer literacy [<xref ref-type="bibr" rid="ref12">12</xref>]. Williams et al [<xref ref-type="bibr" rid="ref13">13</xref>] created an assessment instrument measuring women’s understanding of their personal and familial risks of breast and cervical cancers. Han et al [<xref ref-type="bibr" rid="ref6">6</xref>] made the Assessment of Health Literacy in Cancer Screening to measure the effect of a health literacy–focused intervention to promote breast and cervical cancer screening. These tools, among many others, can provide important clinical implications in that informing physicians and pharmacists early on in health care delivery can allow for timely interventions designed to reduce adverse health outcomes for patients with limited cancer health literacy [<xref ref-type="bibr" rid="ref14">14</xref>].</p>
        <p>Breast cancer incidence has grown by 20%-30% in the past 3 decades, and it annually increases by 3%-5% in China [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>]. This yearly rise is considerably higher than the global average growth of 1.5% [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>]. It is therefore imperative to assess cancer health literacy among Chinese women to deliver timely, tailored education about and interventions in female breast cancer prevention and treatment. However, there is no breast cancer literacy assessment measure currently available in China to the best of our knowledge. In this case, measures of literacy are urgently needed to allow for assessing people’s literacy competence and recommending promising interventions and strategies [<xref ref-type="bibr" rid="ref8">8</xref>]. Considering that “A gap exists for linguistically and culturally sensitive measurements of functional breast cancer literacy that adheres to psychometric rigors” [<xref ref-type="bibr" rid="ref12">12</xref>], we need to develop a Chinese-language breast cancer literacy assessment scale that is linguistically and culturally appropriate to the Chinese social-cultural context.</p>
        <p>In the context of the lack of an instrument, translating validated scales for use in different language studies is regarded as a rapid and practical approach to assessment [<xref ref-type="bibr" rid="ref19">19</xref>] for developing new tools that entail painstaking efforts and substantial time and cost investments [<xref ref-type="bibr" rid="ref20">20</xref>]. It is, accordingly, imperative to translate quantitative tools into the language of the culture that is investigated for studies in which these instruments are used [<xref ref-type="bibr" rid="ref21">21</xref>]. As such, we intended to translate the B-CLAT into a Chinese version. As Mohamad Marzuki and colleagues [<xref ref-type="bibr" rid="ref22">22</xref>] strongly suggested, established, available, and reliable instruments need to be adapted, tested, and documented cross-linguistically. It is also essential to adapt tools cross-culturally [<xref ref-type="bibr" rid="ref23">23</xref>]. We would, therefore, adapt the Chinese version of the B-CLAT to Chinese culture and evaluate the psychometric properties of the adapted tool to make sure of its applicability and efficacy. Research tools must be proven reliable in each culture that is studied to explore the health care needs of individuals from diverse cultural backgrounds [<xref ref-type="bibr" rid="ref24">24</xref>]. A reliable translated assessment scale needs to undergo rigorous translation and appropriate adaptation to ensure semantic and content equivalence in cross-cultural studies [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref25">25</xref>]. Informed by these studies, we would translate and adapt the B-CLAT and evaluate the psychometric properties of the translated and adapted version rigorously in this study.</p>
      </sec>
      <sec>
        <title>Objective</title>
        <p>This study aimed to translate and linguistically and culturally adapt the B-CLAT into a simplified-Chinese version, and then evaluate its convergent validity and psychometric properties by administering it to Chinese college students.</p>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overall Design</title>
        <p>Informed by Wångdahl et al [<xref ref-type="bibr" rid="ref26">26</xref>], we conducted the prospective psychometric evaluation study of the Chinese version of the B-CLAT in two phases: (1) translation and content validation and (2) psychometric evaluation. The B-CLAT was designed to specifically measure functional health literacy specific to breast cancer for the benefit of cancer researchers and health educators [<xref ref-type="bibr" rid="ref12">12</xref>]. This scale consists of 34 items in multiple-choice and true or false format allocated into three domains: (1) cancer awareness (6 items), (2) knowledge of screening modalities (13 items), and (3) prevention and control (15 items). It has been rigorously tested.</p>
      </sec>
      <sec>
        <title>Phase 1: Translation and Content Validation</title>
        <sec>
          <title>Overview</title>
          <p>Following rigorous translation and validation guidelines proposed in previous studies [<xref ref-type="bibr" rid="ref27">27</xref>-<xref ref-type="bibr" rid="ref37">37</xref>], we translated and adapted the B-CLAT into a simplified-Chinese version and verified the validity of the newly developed tool. <xref rid="figure1" ref-type="fig">Figure 1</xref> presents the development of the simplified-Chinese version of the B-CLAT (C-B-CLAT) through forward translation, backward translation, cognitive interview, and expert review.</p>
          <fig id="figure1" position="float">
            <label>Figure 1</label>
            <caption>
              <p>Process of developing the C-B-CLAT. This figure was adapted from Barros et al [<xref ref-type="bibr" rid="ref27">27</xref>] which is published under Creative Commons Attribution 4.0 International License [<xref ref-type="bibr" rid="ref38">38</xref>]. B-CLAT: Breast Cancer Literacy Assessment Tool; C-B-CLAT: simplified-Chinese version of the B-CLAT.</p>
            </caption>
            <graphic xlink:href="formative_v7i1e43002_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
        </sec>
        <sec>
          <title>Forward and Backward, Initial Translation by 2 Native Chinese Speakers</title>
          <p>To adopt and apply the B-CLAT in a different sociocultural background, we needed to go through a rigorous process of language translation and cultural adaptation [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref28">28</xref>]. Informed by Wild et al [<xref ref-type="bibr" rid="ref29">29</xref>], we forward-translated and linguistically and culturally adapted the English B-CLAT into a simplified Chinese version (V1). A native Chinese translator fluent in English made the forward translation. Cross-cultural translation frequently involves problems concerning the translation quality and comparability of research results in diverse cultural and ethnic communities [<xref ref-type="bibr" rid="ref30">30</xref>]. It is particularly challenging to adapt an instrument into a culturally relevant and comprehensible version while maintaining its intended meanings and purposes because of the cross-cultural variations in the values and meanings of the composing constructs of the instrument [<xref ref-type="bibr" rid="ref30">30</xref>]. Considering these challenges, we attached great importance to functional equivalence to ensure cross-cultural validity in forward translation.</p>
          <p>Following the proposal of Sperber [<xref ref-type="bibr" rid="ref30">30</xref>], another native Chinese bilingual translator with rich experience in health and medical material translation back-translated V1 into an English version (B-T). This bilingual translator was blind to the original English version of the B-CLAT to ensure the quality of the back translation [<xref ref-type="bibr" rid="ref31">31</xref>]. Through back translation, we intended to find gaps between the source and target versions and thus revise concepts and expressions that were not functionally equivalent [<xref ref-type="bibr" rid="ref30">30</xref>]. Back translation may be repeated until functional equivalence was achieved. Through back translation, we can validate the adequacy of instrument translation [<xref ref-type="bibr" rid="ref30">30</xref>].</p>
        </sec>
        <sec>
          <title>Expert Committee Review of the Preliminary Translation</title>
          <p>The expert committee comprised all authors of this study, including 2 native Chinese bilingual translators and 3 health professionals. This committee reviewed the B-T and the original B-CLAT to ascertain whether semantic, idiomatic, experiential, and conceptual equivalence was secured between the 2 English versions [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>]. We ensure the linguistic and scientific accuracy and comprehensibility of the preliminary translation by resolving all discrepancies at the panel meeting of the expert committee. As a result, we produced the reviewed Chinese version (V2).</p>
        </sec>
        <sec>
          <title>Cognitive Interview Following a “Think-Aloud Protocol”</title>
          <p>In total, 10 volunteers were recruited for a cognitive interview, including 5 women and 5 men with year 6, year 9, year 12, and university education who were aged 32 to 66 years. Based on the “think-aloud protocol” [<xref ref-type="bibr" rid="ref35">35</xref>], they were asked to fill out V2 while “thinking aloud,” to provide open feedback on whether and how they understood the questionnaire [<xref ref-type="bibr" rid="ref36">36</xref>]. This step aimed to test the understandability of V2. Subsequently, the 10 volunteers and all authors of this study resolved problems with the question organization, the instrument layout (including the font size), and elusive questions or concepts [<xref ref-type="bibr" rid="ref27">27</xref>]. We focused on challenging questions and concepts related primarily to cultural relevance (whether they were relevant to the participants’ daily life) and linguistic accessibility (whether they were comprehensible or ambiguous to the participants). This step guaranteed the face validity of the translated tool, resulting in V3.</p>
        </sec>
        <sec>
          <title>Review by Professional Health Translators With Extensive Community Engagement Experiences</title>
          <p>Two professional health translators with extensive community engagement experience reviewed V3 to ensure its comprehensibility and cultural acceptability. In this process, what was used as a review criterion was the suitability assessment of materials for the evaluation of health information in readability and understandability proposed by Doak et al [<xref ref-type="bibr" rid="ref37">37</xref>]. This step finalized the translated and adapted version (C-B-CLAT).</p>
        </sec>
      </sec>
      <sec>
        <title>Phase 2: Psychometric Evaluation</title>
        <sec>
          <title>Participant Recruitment and Questionnaire Survey</title>
          <p>Participants were recruited from college students of Nantong University, China through randomized sampling. The inclusion criteria were as follows: (1) being 18 years or older, (2) understanding the questions in the questionnaire, and (3) participating in the survey voluntarily. The web-based survey was divided into 2 stages: August 8, 2022, to August 14, 2022 (stage 1) and September 3, 2022, to September 9, 2022 (stage 2). Those who had participated in stage 1 were invited to participate in stage 2 for the test-retest purpose. This interval of over 2 weeks between the test and the retest could avoid biased answers in retest caused by the eventual recall of questions or previous answers [<xref ref-type="bibr" rid="ref23">23</xref>]. Participants received written information on this study, including the study objective and steps, voluntary participation, and an option of withdrawal during any phase. They were assured confidentiality and secure data storage. The C-B-CLAT complete with age, gender, and education was administered via <italic>wenjuanxing</italic> [<xref ref-type="bibr" rid="ref39">39</xref>], the most popular internet survey platform in China.</p>
        </sec>
        <sec>
          <title>Data Collection and Analysis</title>
          <p>The sample size was up to the actual number of students’ responses to the web-based questionnaire. The data were collected on August 15, 2022 (stage 1) and September 10, 2022 (Stage 2), respectively, and stored in an Excel file. A valid questionnaire must have all question items answered according to our predefined data inclusion criterion. All valid data were subjected to psychometric evaluation using SPSS version 22.0 (IBM Corp).</p>
        </sec>
        <sec>
          <title>Psychometric Testing</title>
          <sec>
            <title>Internal Consistency</title>
            <p>We used internal consistency that was measured using Cronbach <italic>α</italic> to assess the degree of interrelatedness among items on a test [<xref ref-type="bibr" rid="ref40">40</xref>]. <italic>α</italic> varies between 0 and 1, and higher α values imply higher degrees to which items on a test are interrelated [<xref ref-type="bibr" rid="ref40">40</xref>]. <italic>α</italic> values from .70 to .95 are considered good, and <italic>α</italic> values from .60 to .69 are considered fair [<xref ref-type="bibr" rid="ref40">40</xref>]. α is influenced by the number of items on a test; the more items on a test, the higher the <italic>α</italic> values are [<xref ref-type="bibr" rid="ref40">40</xref>]. We measured the internal consistency of the entire C-B-CLAT and its subscales.</p>
          </sec>
          <sec>
            <title>Test-Retest Reliability</title>
            <p>Test-retest reliability of the C-B-CLAT was assessed by calculating the intraclass correlation coefficient (ICC) using a 2-way random effects model, which assumes that random errors come both from raters and participants [<xref ref-type="bibr" rid="ref41">41</xref>]. The ICC is determined through (between subjects variability) ÷ (between subjects variability + error); as the error term decreases, the ICC varies from 0 to 1 indicating perfect reliability [<xref ref-type="bibr" rid="ref41">41</xref>]. Fleiss (as cited in Oremus et al [<xref ref-type="bibr" rid="ref42">42</xref>]) proposed a classification for the strength of test-retest reliability based on the ICC as follows: &lt;0.40 poor, 0.40-0.75 fair to good, and &gt;0.75 excellent.</p>
          </sec>
          <sec>
            <title>Bland-Altman Method</title>
            <p>The Bland-Altman method was used to determine the agreement between the C-B-CLAT scores at stage 1 and stage 2. This method plots the agreement between 2 quantitative measurements and quantifies this agreement by constructing agreement limits, which are measured using the mean and SD of the differences between the 2 measurements: the upper agreement limit = 1.96 * SD + mean score and the lower agreement limit = 1.96 * SD − mean score [<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]. The x-axis represents the mean of the paired measurements, whereas the y-axis of the Bland-Altman plot represents the difference between paired measurements [<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]. All data points should lie within ±2 SDs of the mean difference [<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref44">44</xref>].</p>
          </sec>
        </sec>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>Ethical approval was obtained from the Students’ Affairs Department and the Humanities and Social Sciences Department at Nantong University. It is an official practice in this university to ask the Students’ Affairs Department and Humanities and Social Sciences Department for approval before collecting data from students. We followed this practice. Besides, there is no ethics review board at Nantong University. Therefore, a review number or code for this study could not be provided. Written consent was obtained from participants in the study. Study data were anonymous or deidentified for privacy and confidentiality protection. We recruited students who were willing to support our research without compensation.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Descriptive Statistics of Participant Demographics</title>
        <p><xref ref-type="table" rid="table1">Table 1</xref> presents the results of a descriptive analysis of the data collected. A total of 50 responses were collected from 50 female participants via <italic>wenjuanxing</italic>. Their age ranged from 17 to 22 years (mean 19.62, SD 1.31 years). They were in 4 different grades with an average of 2.24 (SD 1.10) years of college education: freshman (n=16, 32%), sophomore (n=15, 30%), junior (n=10, 20%), and senior (n=9, 18%). None of them reported an experience of having a breast disease.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Descriptive statistics.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="260"/>
            <col width="180"/>
            <col width="180"/>
            <col width="380"/>
            <thead>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Minimum</td>
                <td>Maximum</td>
                <td>Mean (SD)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>B-CLAT1<sup>a</sup></td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.84 (0.37)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT2</td>
                <td>2.00</td>
                <td>3.00</td>
                <td>2.16 (0.37)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT3</td>
                <td>2.00</td>
                <td>2.00</td>
                <td>2.00 (0.00)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT4</td>
                <td>1.00</td>
                <td>5.00</td>
                <td>3.54 (1.58)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT5</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.82 (0.39)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT6</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.98 (0.14)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT7</td>
                <td>1.00</td>
                <td>3.00</td>
                <td>1.50 (0.79)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT8</td>
                <td>1.00</td>
                <td>4.00</td>
                <td>1.82 (0.75)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT9</td>
                <td>1.00</td>
                <td>3.00</td>
                <td>1.98 (0.51)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT10</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.08 (0.27)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT11</td>
                <td>1.00</td>
                <td>3.00</td>
                <td>2.18 (0.52)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT12</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.16 (0.37)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT13</td>
                <td>1.00</td>
                <td>3.00</td>
                <td>2.88 (0.44)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT14</td>
                <td>1.00</td>
                <td>3.00</td>
                <td>1.04 (0.28)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT15</td>
                <td>1.00</td>
                <td>5.00</td>
                <td>3.10 (1.82)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT16</td>
                <td>1.00</td>
                <td>5.00</td>
                <td>3.54 (1.68)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT17</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.94 (0.24)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT18</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.92 (0.27)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT19</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.38 (0.49)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT20</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.48 (0.50)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT21</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.08 (0.27)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT22</td>
                <td>1.00</td>
                <td>3.00</td>
                <td>2.52 (0.86)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT23</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.02 (0.14)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT24</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.34 (0.48)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT25</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.20 (0.40)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT26</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.12 (0.33)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT27</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.06 (0.24)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT28</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.88 (0.33)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT29</td>
                <td>1.00</td>
                <td>5.00</td>
                <td>4.70 (1.04)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT30</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.52 (0.50)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT31</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.32 (0.47)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT32</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.76 (0.43)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT33</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.26 (0.44)</td>
              </tr>
              <tr valign="top">
                <td>B-CLAT34</td>
                <td>1.00</td>
                <td>2.00</td>
                <td>1.80 (0.40)</td>
              </tr>
              <tr valign="top">
                <td>Education</td>
                <td>1.00</td>
                <td>4.00</td>
                <td>2.24 (1.10)</td>
              </tr>
              <tr valign="top">
                <td>Age (years)</td>
                <td>17.00</td>
                <td>22.00</td>
                <td>19.62 (1.31)</td>
              </tr>
              <tr valign="top">
                <td>Gender</td>
                <td>2.00</td>
                <td>2.00</td>
                <td>2.00 (0.00)</td>
              </tr>
              <tr valign="top">
                <td>Breast disease history</td>
                <td>No</td>
                <td>2.00</td>
                <td>No (0.00)</td>
              </tr>
              <tr valign="top">
                <td>Valid N (listwise)</td>
                <td>50.00</td>
                <td>N/A<sup>b</sup></td>
                <td>N/A</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>B-CLAT1 to B-CLAT34 refer to items 1-34 in the Breast Cancer Literacy Assessment Tool.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>N/A: not applicable.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Psychometric Testing</title>
        <sec>
          <title>Internal Consistency</title>
          <p>Items 1, 6, 8, 9, 10, 16, 17, 20, 21, 22, 23, 24, 25, 26, 29, and 30 were deleted to increase the relevant subscale internal consistency. Items 3, 12, 13, 14, 18, 20, 27, and 31 were deleted due to their Cronbach <italic>α</italic> being lower than .5 in the test-retest analysis. After deletion, the internal consistency of the entire scale was fair with <italic>α</italic>=.607, as shown in <xref ref-type="table" rid="table2">Table 2</xref>. The prevention and control subscale had the highest internal consistency with <italic>α</italic>=.730, followed by the screening and knowledge subscale with <italic>α</italic>=.509, while the awareness subscale had the lowest internal consistency with <italic>α</italic>=.224, as shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p>
          <table-wrap position="float" id="table2">
            <label>Table 2</label>
            <caption>
              <p>Internal consistency analysis of subscales of the C-B-CLAT.<sup>a</sup>.</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="50"/>
              <col width="100"/>
              <col width="80"/>
              <col width="150"/>
              <col width="60"/>
              <col width="400"/>
              <col width="160"/>
              <thead>
                <tr valign="top">
                  <td>Scale</td>
                  <td>Scale name</td>
                  <td>Cronbach <italic>α</italic></td>
                  <td>Cronbach <italic>α</italic> based on standardized items</td>
                  <td>Items, n</td>
                  <td>Items deleted</td>
                  <td>Items retained</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>1</td>
                  <td>Awareness</td>
                  <td>.224</td>
                  <td>.351</td>
                  <td>3</td>
                  <td>1,3,6</td>
                  <td>2,4,5</td>
                </tr>
                <tr valign="top">
                  <td>2</td>
                  <td>Screening and knowledge</td>
                  <td>.509</td>
                  <td>.665</td>
                  <td>3</td>
                  <td>8,9,10,12,13,14,16,17,18,19</td>
                  <td>7,11,15</td>
                </tr>
                <tr valign="top">
                  <td>3</td>
                  <td>Prevention and control</td>
                  <td>.730</td>
                  <td>.747</td>
                  <td>4</td>
                  <td>20,21,22,23,24,25,26,27,29,30,31</td>
                  <td>28,32,33,34</td>
                </tr>
                <tr valign="top">
                  <td>4</td>
                  <td>Entire scale</td>
                  <td>.607</td>
                  <td>.610</td>
                  <td>10</td>
                  <td>1,3,6,8,9,10,12,13,14,16,17,18,19,20,21,22,23,24,25,26,27,29,30,31</td>
                  <td>2,4,5,7,11,15,28,32,33,34</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="table2fn1">
                <p><sup>a</sup>C-B-CLAT: simplified-Chinese version of the Breast Cancer Literacy Assessment Tool.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>Test-Retest Reliability</title>
          <p>In total, 1 participant failed to participate in stage 2. In total, 49 participants (98%) had a test-retest interval of 19 days. The ICC for the C-B-CLAT (items 2, 4, 5, 7, 11, 15, 28, 32, 33, and 34) was fair to excellent (odds ratio [OR] 0.88, 95% CI 0.503-0.808, as presented in <xref ref-type="table" rid="table3">Table 3</xref>). The values of Cronbach <italic>α</italic> for items 2, 4, 5, 7, 11, 15, 28, 32, 33, and 34 ranged from .499 to .806, and the <italic>α</italic> value for the C-B-CLAT (items 2, 4, 5, 7, 11, 15, 28, 32, 33, and 34) was .607, as presented in <xref ref-type="table" rid="table4">Table 4</xref>. This indicates fair test-retest reliability.</p>
          <table-wrap position="float" id="table3">
            <label>Table 3</label>
            <caption>
              <p>Test-retest reliability analysis I of retained items of the C-B-CLAT.<sup>a</sup></p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="140"/>
              <col width="120"/>
              <col width="80"/>
              <col width="100"/>
              <col width="140"/>
              <col width="100"/>
              <col width="320"/>
              <thead>
                <tr valign="top">
                  <td>Scale items and test</td>
                  <td colspan="5">ANOVA with Friedman test</td>
                  <td>Intraclass correlation coefficient (average measures using absolute agreement; 95% CI)</td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td>Sum of squares</td>
                  <td>
                    <italic>df</italic>
                  </td>
                  <td>Mean square</td>
                  <td>Friedman chi-square</td>
                  <td><italic>P</italic> value</td>
                  <td/>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>B-CLAT2<sup>b</sup></td>
                  <td>0.041</td>
                  <td>1.000</td>
                  <td>0.041</td>
                  <td>0.500</td>
                  <td>.48</td>
                  <td>0.607 (0.302-0.778)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT4</td>
                  <td>0.163</td>
                  <td>1.000</td>
                  <td>0.163</td>
                  <td>0.101</td>
                  <td>.75</td>
                  <td>0.503 (0.113-0.721)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT5</td>
                  <td>0.010</td>
                  <td>1.000</td>
                  <td>0.010</td>
                  <td>0.200</td>
                  <td>.66</td>
                  <td>0.808 (0.660-0.892)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT7</td>
                  <td>0.653</td>
                  <td>1.000</td>
                  <td>0.653</td>
                  <td>2.286</td>
                  <td>.13</td>
                  <td>0.615 (0.325-0.782)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT11</td>
                  <td>0.827</td>
                  <td>1.000</td>
                  <td>0.827</td>
                  <td>5.400</td>
                  <td>.02</td>
                  <td>0.620 (0.332-0.785)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT15</td>
                  <td>1.469</td>
                  <td>1.000</td>
                  <td>1.469</td>
                  <td>0.742</td>
                  <td>.39</td>
                  <td>0.571 (0.240-0.758)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT28</td>
                  <td>0.255</td>
                  <td>1.000</td>
                  <td>0.255</td>
                  <td>3.571</td>
                  <td>.06</td>
                  <td>0.681 (0.439-0.819)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT32</td>
                  <td>0.092</td>
                  <td>1.000</td>
                  <td>0.092</td>
                  <td>1.286</td>
                  <td>.26</td>
                  <td>0.787 (0.624-0.879)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT33</td>
                  <td>0.163</td>
                  <td>1.000</td>
                  <td>0.163</td>
                  <td>2.000</td>
                  <td>.16</td>
                  <td>0.702 (0.476-0.831)</td>
                </tr>
                <tr valign="top">
                  <td>B-CLAT34</td>
                  <td>0.163</td>
                  <td>1.000</td>
                  <td>0.163</td>
                  <td>2.000</td>
                  <td>.16</td>
                  <td>0.724 (0.515-0.844)</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="table3fn1">
                <p><sup>a</sup>C-B-CLAT: simplified-Chinese version of the B-CLAT.</p>
              </fn>
              <fn id="table3fn2">
                <p><sup>b</sup>B-CLAT: Breast Cancer Literacy Assessment Tool.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <table-wrap position="float" id="table4">
            <label>Table 4</label>
            <caption>
              <p>Test-retest reliability analysis II of retained items of the C-B-CLAT.<sup>a</sup></p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="30"/>
              <col width="160"/>
              <col width="0"/>
              <col width="180"/>
              <col width="310"/>
              <col width="320"/>
              <thead>
                <tr valign="top">
                  <td colspan="2">Scale items and test</td>
                  <td colspan="4">Scale reliability statistics</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <break/>
                  </td>
                  <td>Cronbach <italic>α</italic></td>
                  <td>Cronbach <italic>α</italic> based on standardized items</td>
                  <td>Mean (SD)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT2<sup>b</sup></bold>
                  </td>
                  <td>.604</td>
                  <td>.604</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>2.163 (0.373)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>2.122 (0.389)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT4</bold>
                  </td>
                  <td>.499</td>
                  <td>.499</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>3.592 (1.553)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>3.510 (1.583)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT5</bold>
                  </td>
                  <td>.806</td>
                  <td>.806</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.816 (0.391)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.796 (0.407)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT7</bold>
                  </td>
                  <td>.622</td>
                  <td>.627</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.469 (0.767)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.306 (0.652)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT11</bold>
                  </td>
                  <td>.643</td>
                  <td>.643</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>2.184 (0.527)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>2.000 (0.500)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT15</bold>
                  </td>
                  <td>.570</td>
                  <td>.570</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>3.143 (1.814)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>3.388 (1.824)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT28</bold>
                  </td>
                  <td>.692</td>
                  <td>.706</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.878 (0.331)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.776 (0.422)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT32</bold>
                  </td>
                  <td>.788</td>
                  <td>.789</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.755 (0.434)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.694 (0.466)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT33</bold>
                  </td>
                  <td>.706</td>
                  <td>.710</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.265 (0.446)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.184 (0.391)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>B-CLAT34</bold>
                  </td>
                  <td>.728</td>
                  <td>.731</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.796 (0.407)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>1.714 (0.456)</td>
                </tr>
                <tr valign="top">
                  <td colspan="3">
                    <bold>Total scale sum</bold>
                  </td>
                  <td>.607</td>
                  <td>.610</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Test</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>25.9184 (3.45710)</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td colspan="2">Retest</td>
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>25.4490 (3.07586)</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="table4fn1">
                <p><sup>a</sup>C-B-CLAT: simplified-Chinese version of the B-CLAT.</p>
              </fn>
              <fn id="table4fn2">
                <p><sup>b</sup>B-CLAT: Breast Cancer Literacy Assessment Tool.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>Bland-Altman Results</title>
          <p>The mean difference in the C-B-CLAT scores between stage 1 and stage 2 was 0.47 (OR 0.88, 95% CI −0.53 to 1.47), which was not significantly different from zero (t<sub>48</sub>=0.945; <italic>P</italic>=.35), as shown in <xref rid="figure2" ref-type="fig">Figure 2</xref> and <xref ref-type="table" rid="table5">Tables 5</xref>-<xref ref-type="table" rid="table7">7</xref>. This result implies that the C-B-CLAT produced the same scores at stage 1 and stage 2 on average, thus showing good agreement in the C-B-CLAT scores between stage 1 and stage 2. The SD of the difference was 3.48, as shown in <xref ref-type="table" rid="table5">Tables 5</xref>-<xref ref-type="table" rid="table7">7</xref>. The 95% limits of agreement were −6.34 to 7.28, as shown in <xref rid="figure2" ref-type="fig">Figure 2</xref>.</p>
          <fig id="figure2" position="float">
            <label>Figure 2</label>
            <caption>
              <p>Bland-Altman plots for the simplified-Chinese version of the B-CLAT (C-B-CLAT) scores at stage 1 and stage 2. The middle line represents the mean difference between the C-B-CLAT scores between stage 1 and stage 2. The lower and upper lines represent the upper and lower 95% confidence limits, respectively. B-CLAT: Breast Cancer Literacy Assessment Tool.</p>
            </caption>
            <graphic xlink:href="formative_v7i1e43002_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
          <table-wrap position="float" id="table5">
            <label>Table 5</label>
            <caption>
              <p>One-sample statistics of the simplified-Chinese version of the Breast Cancer Literacy Assessment Tool scores at stage 1 and stage 2 (N=49).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="100"/>
              <col width="400"/>
              <col width="500"/>
              <thead>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>Mean (SD)</td>
                  <td>SE mean</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>dff</td>
                  <td>0.4694 (3.47672)</td>
                  <td>0.49667</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table6">
            <label>Table 6</label>
            <caption>
              <p>One-sample test of the simplified-Chinese version of the Breast Cancer Literacy Assessment Tool scores at stage 1 and stage 2 (test value=0).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="40"/>
              <col width="120"/>
              <col width="170"/>
              <col width="180"/>
              <col width="0"/>
              <col width="170"/>
              <col width="0"/>
              <col width="160"/>
              <col width="160"/>
              <thead>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td><italic>T</italic> test (<italic>df</italic>)</td>
                  <td colspan="3">Significance</td>
                  <td colspan="2">Mean difference</td>
                  <td colspan="2">95% CI of the difference</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>One-sided <italic>P</italic> value</td>
                  <td>Two-sided <italic>P</italic> value</td>
                  <td colspan="2">
                    <break/>
                  </td>
                  <td colspan="2">Lower</td>
                  <td>Upper</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>dff</td>
                  <td>0.945 (48)</td>
                  <td>.18</td>
                  <td>.35</td>
                  <td colspan="2">0.46939</td>
                  <td colspan="2">−0.5292</td>
                  <td>1.4680</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table7">
            <label>Table 7</label>
            <caption>
              <p>One-sample effect sizes of the simplified-Chinese version of the Breast Cancer Literacy Assessment Tool scores at stage 1 and stage 2.</p>
            </caption>
            <table border="1" rules="groups" cellpadding="5" frame="hsides" width="1000" cellspacing="0">
              <col width="30"/>
              <col width="0"/>
              <col width="210"/>
              <col width="190"/>
              <col width="190"/>
              <col width="190"/>
              <col width="190"/>
              <thead>
                <tr valign="top">
                  <td/>
                  <td/>
                  <td/>
                  <td>Standardizer<sup>a</sup></td>
                  <td>Point estimate</td>
                  <td colspan="2">95% CI</td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td/>
                  <td/>
                  <td/>
                  <td/>
                  <td>Lower</td>
                  <td>Upper</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td colspan="7">
                    <bold>dff</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td/>
                  <td>Cohen <italic>d</italic><sup>b</sup></td>
                  <td>3.47673</td>
                  <td>0.135</td>
                  <td>−0.147</td>
                  <td>0.416</td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td/>
                  <td>Hedges correction<sup>c</sup></td>
                  <td>3.53225</td>
                  <td>0.135</td>
                  <td>−0.145</td>
                  <td>0.409</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="table7fn1">
                <p><sup>a</sup>The denominator used in estimating the effect sizes.</p>
              </fn>
              <fn id="table7fn2">
                <p><sup>b</sup>Cohen <italic>d</italic> uses the sample SD.</p>
              </fn>
              <fn id="table7fn3">
                <p><sup>c</sup>Hedges correction uses the sample SD plus a correction factor.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Overview</title>
        <p>Limited cancer health literacy prevents patients from fully benefiting from cancer treatment, causing negative health outcomes [<xref ref-type="bibr" rid="ref14">14</xref>]. Precisely identifying patients with limited cancer health literacy remains a critical clinical challenge in the context of cancer being the leading cause of death in China [<xref ref-type="bibr" rid="ref14">14</xref>]. To rise to this challenge, a linguistically and culturally appropriate assessment tool is needed to assess the cancer health literacy status of Chinese-speaking populations. In this context, we translated and adapted the English B-CLAT into a simplified-Chinese version and then evaluated its psychometric properties by administering it to Chinese college students. We found this newly developed scale valid and reliable for assessing breast cancer literacy among this population.</p>
      </sec>
      <sec>
        <title>Principal Findings</title>
        <p>Rigorous language translation and cultural adaptation of a tool is an essential process to make it appropriate in different sociocultural settings [<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref31">31</xref>]. In this process, forward translation, backward translation, cognitive interview, and expert review are indispensable to ensure the translation quality and comparability of the tool in diverse cultural and ethnic communities [<xref ref-type="bibr" rid="ref21">21</xref>]; adapt it into a culturally relevant and comprehensible version [<xref ref-type="bibr" rid="ref21">21</xref>]; and achieve semantic, idiomatic, experiential, and conceptual equivalence between the source and target versions [<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>]. Meanwhile, the readability and understandability of a newly developed instrument need to be assessed to guarantee its suitability for the evaluation of health information [<xref ref-type="bibr" rid="ref37">37</xref>]. As such, it is a challenging task to translate and adapt an instrument cross-culturally [<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref30">30</xref>].</p>
        <p>Our research results are somehow consistent with those reported in the validation of the original B-CLAT [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref45">45</xref>]. The C-B-CLAT displayed fair overall internal reliability (0.607), slightly lower than 0.73 in Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>], and much lower than 0.85 in Mabiso et al [<xref ref-type="bibr" rid="ref45">45</xref>] and 0.91 in Williams et al [<xref ref-type="bibr" rid="ref13">13</xref>]. These differences may be attributed to the different sizes of samples in different studies on the one hand, 50 in our study, compared with 543 in Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>] and 161 in Mabiso et al [<xref ref-type="bibr" rid="ref45">45</xref>], and to the different numbers of items on the scales in different studies on the other hand, 10 items on the scale in our study, in comparison with 30 items in Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>] and 16 items in Mabiso et al [<xref ref-type="bibr" rid="ref45">45</xref>]. This finding supports the finding reported by Tavakol and Dennick [<xref ref-type="bibr" rid="ref40">40</xref>] that <italic>α</italic> is influenced by the number of items on a test: more items on a test result in higher <italic>α</italic> values. The different internal consistency values of the B-CLAT when being administered among different populations point to the importance of developing and choosing B-CLATs that are linguistically and culturally appropriate to specific populations. As asserted by Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>], “A gap exists for linguistically and culturally sensitive measurements of functional breast cancer literacy that adheres to psychometric rigors.”</p>
        <p>Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>] hypothesized and verified that family breast cancer history could lead to the highest scores on the B-CLAT. Our research results support this hypothesis. We found that no participants in our sample reported breast cancer history and they scored poorly on the C-B-CLAT, as evidenced by the deletion of 24 items to which the participants returned inconsistent responses in the test and the retest. The participants’ poor performance on these deleted items shows that these questionnaire items were too difficult for Chinese college students with no breast cancer history. After deleting these items, we found that Cronbach <italic>α</italic> for the 3 subscales and the entire scale increased to varying degrees, implying the improved validity of the C-B-CLAT.</p>
        <p>The results of our study and some previous studies show the discrepancies in scoring performance on the original and translated B-CLAT scale among different ethnic groups and on different subscales of the instrument within the same ethnic group. Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>] ascertained that those with no breast cancer history had the highest scores on the subscale of prevention and control and the lowest scores on the subscale of awareness. Our results confirm this finding. Internal consistency for the awareness subscale was determined at 0.224 in our study, considerably lower than 0.57 (Black), 0.59 (Latina), and 0.52 (Arab) in Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>], and 0.53 in Mabiso et al [<xref ref-type="bibr" rid="ref45">45</xref>]. Internal consistency for the screening and knowledge subscale was much better at 0.509 in our study, but still lower than 0.53 (Latina), 0.63 (Arab), and 0.71 (Black) in Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>], and 0.78 in Mabiso et al [<xref ref-type="bibr" rid="ref45">45</xref>]. Internal consistency for the prevention and control subscale was determined at 0.730 in our study, slightly higher than 0.64 in Mabiso et al [<xref ref-type="bibr" rid="ref45">45</xref>] and 0.69 (Black) in Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>], and considerably higher than 0.34 (Latina) and 0.40 (Arab) in Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>]. As with the internal consistency for the entire scale, the Cronbach <italic>α</italic> in our study (.607) was lower than .61 (Latina), .68 (Arab), .81 (Black), and .73 (total) in Williams et al [<xref ref-type="bibr" rid="ref12">12</xref>], and lower than .85 in Mabiso et al [<xref ref-type="bibr" rid="ref45">45</xref>]. These results show the varying levels of different aspects of breast cancer literacy among different populations. As such, it is imperative to deliver more targeted interventions and more effective education about the screening, prevention, and treatment of breast cancer among diverse populations.</p>
        <p>This study addressed the need for health literacy measures to be rigorously tested [<xref ref-type="bibr" rid="ref46">46</xref>]. The 3 subscales focus on different aspects essential for women to engage in breast cancer screening. For example, low scores on the screening and knowledge subscale may indicate that participants cannot tell the differences between screening modalities or they are not sure of the times of screening. This could ascertain the relevance of health literacy to breast cancer screening and inform the development of more targeted education interventions [<xref ref-type="bibr" rid="ref47">47</xref>]. It was essential to have a tool-assessing skills for understanding information on breast cancer screening and services available and making appropriate decisions on screening [<xref ref-type="bibr" rid="ref12">12</xref>].</p>
      </sec>
      <sec>
        <title>Implications</title>
        <p>The results derived from the psychometric evaluation study of the Chinese version of the B-CLAT highlight the significance and need for an instrument to assess breast cancer literacy among Chinese populations. This study, therefore, addressed the need ascertained in existing literature for more health literacy scales, including breast cancer literacy instruments, which can be used to assess health literacy [<xref ref-type="bibr" rid="ref8">8</xref>]. It is essential to have a tool measuring a woman’s possession of skills for understanding information on breast cancer screening and services available and being able to make appropriate screening decisions [<xref ref-type="bibr" rid="ref12">12</xref>]. This is especially true in China, where the prevalence, death rate, and growth rate of cancer cases are relatively high compared to relevant figures reported for other countries [<xref ref-type="bibr" rid="ref3">3</xref>-<xref ref-type="bibr" rid="ref5">5</xref>]. The 3 subscales of the C-B-CLAT concentrate on 3 different aspects (ie, awareness, screening and knowledge, and prevention and control) essential for a woman to engage in breast cancer screening. For example, a woman scoring low on the screening and knowledge subscale may indicate that she cannot tell the differences between screening modalities or she is not aware how many times of screenings she needs to undergo. Drawing on such a scale specifically evaluating functional understanding of breast cancer, we can move “one step closer toward understanding the relation between this measure and breast cancer screening behaviors” [<xref ref-type="bibr" rid="ref12">12</xref>]. We would, therefore, be informed of the relevance of health literacy to breast cancer screening and the need to design more targeted education interventions [<xref ref-type="bibr" rid="ref47">47</xref>].</p>
        <p>This study also addressed the need for health literacy scales to be rigorously tested [<xref ref-type="bibr" rid="ref46">46</xref>]. An essential step in designing research interventions is to secure instruments that are linguistically and culturally appropriate [<xref ref-type="bibr" rid="ref12">12</xref>]. As such, rigorous adaptation strategies need to be adopted to ensure the semantic equivalence and cultural relevance and appropriateness of the newly developed tools in the target language and culture. Validity and reliability testing can reveal the applicability and efficacy of health literacy instruments among specific target populations, which can inform the improvement of scales currently available and the development of new scales. As a result, the clinical screening of and health intervention in particular diseases could be made more effective and tailored using such rigorously tested tools. Validating instruments assessing functional health literacy specific to breast cancer makes a significant contribution to the science community and significantly influences the capacities of public health agencies to more effectively promote the screening and early detection of breast cancer [<xref ref-type="bibr" rid="ref12">12</xref>].</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>Some limitations of this study need to be acknowledged. First, the relatively small size and the cohort nature of our sample may limit the generalizability of our research results and findings. We recruited a cohort of college students whose educational attainment was somewhat higher than that of the general Chinese women. Their age ranged from 17 to 22 years. As a result, we are not sure of the generalizability of our findings to other populations of different education levels and age groups. Future studies are warranted to verify the validity and reliability of the C-B-CLAT in large-sized samples with diverse educational attainments, age ranges, occupations, and ethnic groups. Second, it would also be necessary to validate the sensitivity of the newly developed instrument in diverse populations.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>In the context of cancer being the leading cause of death in China, a linguistically and culturally appropriate assessment tool is urgently needed to assess the cancer health literacy of Chinese-speaking populations. We translated and adapted the English version of the B-CLAT into a Chinese version (C-B-CLAT) and conducted a prospective psychometric evaluation study among 50 Chinese college students to verify its suitability for cancer literacy assessment. It had been proven valid and reliable for assessing cancer health literacy among this population.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">B-CLAT</term>
          <def>
            <p>Breast Cancer Literacy Assessment Tool</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">C-B-CLAT</term>
          <def>
            <p>simplified-Chinese version of the B-CLAT</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">ICC</term>
          <def>
            <p>intraclass correlation coefficient</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">OR</term>
          <def>
            <p>odds ratio</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>Data and materials are available via <ext-link ext-link-type="uri" xlink:href="mailto:victorsyhz@hotmail.com" xlink:type="simple">victorsyhz@hotmail.com</ext-link> upon request.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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